What Will it Take to Succeed at Research? Taking Reproducibility to Action for Transformative AI-and Data-enabled Scientific Research
In this interactive workshop, Victoria Stodden (University of Southern California) invited the KIT community, especially early career researchers, to create ideas and proposals for facilitating research that is data-, compute-, or AI-enabled. The goal was to formulate a draft set of recommendations for accelerating research, focusing on shared and open workflows and reproducibility of results. A "reproducible pipeline" was created using real examples of the work early career researchers are currently doing as well prototype examples. The workshop identified reproducibility barriers participants are facing and then 1) validated or repudiated the ideas from the plenary talk and 2) used this as a springboard to formulate a set of recommendations emerging from the workshop.
The workshops built on ideas that were be introduced during the plenary talk by Victoria Stodden on January 20th.
Victoria Stodden is Associate Professor in the Department of Industrial and Systems Engineering at the University of Southern California. She was awarded the Humboldt Research Award 2025, as well as a KIT International Excellence Fellowship 2025 and is a distinguished guest of KIT Center MathSEE and KCDS.